Low noise cmos image sensors

Cancer remains a pervasive problem in public health with surgery serving as the primary care option. Fluorescence image-guided surgery has been explored to aid surgeons identify specific tissue in the patient during operations but these systems tend to interfere with workflow. CMOS image sensors have been explored as a solution because of their high performance, low noise and small footprint. Reducing the noise floor on CMOS image sensors makes it possible to develop a general image sensor that can be used for several low light imaging applications. Achieving low noise performance requires minimal noise injection from the sensor system as well as an image sensor architecture that suppresses noise at the pixel level. The standard pixel architecture suffers from several sources of noise which can be alleviated at the expense of sensor performance. By modifying the behavior of the photo-active component, several sources of noise can be removed.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2020

Author dc:creator

• Li, Anthony

Contributors dc:contributor

• Gruev, Viktor

• CMOS Image Sensors
• Biomedical Sensors
• NIR Imaging
• Analog Circuit Design
• Sensor Design
• Noise

Statement dc:rights

• Copyright 2020 Anthony Li

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/108616

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/108616